In this episode of Embedded Insiders, the VP of Sales and Business Development at Gateworks Corporation, Kelly Peralta, joins me to discuss the trends, challenges, and innovations surrounding Wi-Fi HaLow for industrial and IoT applications.

The next segment is sponsored by Analog Devices, and Contributing Editor, Rich Nass, and Analog Devices’ Senior Vice President of Software and Digital Platforms, Rob Oshan, discuss the complexity of designing AI systems and how Analog Devices’ CodeFusion Studio, which includes an IDE, a software development kit, and coding tools, is designed to accelerate the process. 

Check out the embedded world North America 2025 Best-in-Show winners. 

There are lots of semiconductor vendors that do a great job of providing AI hardware. But unfortunately, for many of them, their offerings end there, requiring developers to source software and tools from multiple sources. It’s no secret that designing a system with AI is complex enough. Having to go to different vendors for different pieces just adds multiple layers of complexity. 

Part 1 of this two-part series introduces voltage input-to-output control (VIOC) systems that are commonly configured as a combination of low dropout (LDO) regulators with the VIOC feature and buck-topology switching regulators. The article then gives guidance for VIOC system design, including a list of suggested pairs of LDOs and switching regulators and the reasons for the pairing. Lastly, it shows how the use of the LDO’s VIOC feature can reduce noise at the LDO output, optimize power dissipation, protect the system during faults, and ensure proper operation during dynamic conditions like startup and overload. Part 2 expands on the guidance for VIOC system design from Part 1 and also discusses VIOC theory of operation and background.

This article addresses the growing power demands of AI server environments, driven by the increasing power consumption of GPUs. It highlights the shift from 48 V to 800 V power delivery architectures. This article explores Analog Devices’ continued innovation in high voltage hot swap protection as data center infrastructure evolves.

Simplicity and efficiency are not always a difficult trade-off; excellent and successful designs often combine both. This article introduces several traditional active balancing solutions for battery management systems (BMS) and discusses how to leverage the strengths of these popular approaches to develop a more practical solution that better achieves simplicity and efficiency in design. Finally, it explains why pack-to-pack balancing is just as important as cell-to-cell balancing.

Hello Embedded Engineers, Developers and Professionals! Welcome to In Case You Missed it: Embedded Insights, the weekly news show all about Embedded technologies and solutions from Embedded Computing Design.

This article discusses how to include pseudorandomness and true randomness in LTspice® simulations using the flat(), gauss(), and mc() functions, as well as how to use the Use the clock to reseed the MC generator option in the Hacks section of the settings panel. Trade-offs between pseudorandomness and true randomness are discussed, as well as trade-offs between statistical, Monte Carlo-like simulations and more targeted worst-case simulations.